Wallaroo.AI

Senior Sales Engineer, Data Science & Machine Learning

Qlik

● Led technical ML conversations during sales cycles, contributing to multiple 5- and 6-figure
deals and aligning PoCs with business goals.
● Acted as AI strategy advisor from ideation to implementation, accelerating time-to-value.
● Mentored junior engineers, translating academic theory into impactful, real-world data
science applications.

Lead Data Science Engineer

Pythian

● Designed and deployed cloud-based ML solutions with automated MLOps pipelines.
● Facilitated feasibility workshops to assess data readiness and business alignment.

Machine Learning Engineer / Solutions Architect

Stradigi AI

● Consulted on ML adoption and implementation, enabling clients to automate workflows and
derive insights.
● Delivered custom ML prototypes that converted leads into customers.
● Guided clients in feature engineering and data extraction to maximize project impact.

Machine Learning Solutions Architect

Wavemaker

● Lead client facing data science projects, along with data science projects related to internal
operations.
● Partnered with senior leadership and international data teams to data science projects for
global clients

Data Scientist

● Partnered with internal and external business intelligence teams to develop and deliver data
science solutions.
● Applied advanced analytics techniques to extract actionable insights from complex client
datasets.
● Used an array of tools in order to engineer data pipelines from 10+ marketing platforms and
databases for use in data science projects for multiple Fortune 100 clients.

Senior Data Analyst

Harry Rosen

● Leveraged SQL and Python data science packages to mine, clean, and analyze large datasets
across transactions, loyalty, customer, product, and web data.
● Led end-to-end analytic projects in cross-functional teams, collaborating with stakeholders
across departments to deliver actionable insights.
● Created and deployed customer-facing analytics solutions using loyalty and profile data, as
part of a small team managing data and analytics across the entire business.

Data Analyst

Avanade

Analyst

The Hospital for Sick Children

Project Analyst (Co-op)

Ivanhoé Cambridge

Asset Management and Operations Information Intern

University Health Network

Corporate Intranet Analyst (Co-op)

My free data science content beats those you'd pay for.

If you made it this far, you're probably here because you read the tech headlines every day and see AI news flooded everywhere. You then think to yourself, "am I missing the AI train?" 

You already have a lot on your plate, and these AI terms, tech and advancements aren't helping. 

You're told you need data to get ahead with AI, but nobody tells you what kind of data. 

You think about starting an AI team, but everyone's expensive, hiring is hard, and delivering value is even harder. 

You then think to purchase 1 of the 1000 off-the-shelf AI products, but which one? Evaluating them is hard. 

Everything AI seems like an uphill battle. 

I get it. 

I've helped countless business leaders navigate AI, while helping brainstorm use cases that bring companies hundreds of thousands of dollars in value. 

I've helped them understand what is and isn't possible with their data. I also have experience evaluating off-the-shelf AI tools to see if they're delivering what they promised. 

Let's have a video call and chat AI over a coffee. I'm buying.

Akmel Syed

Aneesa Valentine, M.S.

TileDB

Providing technical and consultative support to enterprise bioinformatics customers with adoption of TileDB Cloud Life Sciences solutions (single-cell transcriptomics, population genomics and bio-imaging pipelines).

Solutions Architect

Genspace NYC

Exposing students and professionals alike to applications of Machine Learning in Bioinformatics through curated lecture material alongside hands on workshopping.

I also serve as a guest speaker: sharing my career journey with high school students, enabling them to make informed STEM career decisions, and as an application reviewer for the Biorocket summer research internship program.

Bioinformatics Instructor

CVS Health

Drove patient adherence to and digital adoption of pharmacy personalization programs by ideating, designing and deploying A/B Test experiments to-market.

Sr. Data Scientist

Leadspace

Scored company leads based on historical sales data, by utilizing EDA and logistic regression predictive modeling. Ultimately, allowed Sales & Marketing teams to prioritize leads and drive revenue growth, by pinpointing the most valuable prospects to contact.

Albert Einstein College of Medicine

Leveraged PyTorch to optimize open-source binary classification neural network for investigating embryonic cardiovascular development, from multi-dimensional human single cell data.

Research Scientist - Bioinformatics

Tufts University School of Medicine

Conducted rigorous, independent research on the interaction of various fungal species with the human GI tract, leveraging a stem-cell derived colonoid model. Distilled data into key components and effectively communicated its therapeutic capabilities to 50+ senior faculty.

Research Associate - Immunology

Research Foundation of The City University of New York

Conducted end-to-end research on the role of physical force in biological processes and bacterial locomotion, to illuminate novel avenues for combatting disease.  Developed project de novo, and co-authored a peer-reviewed manuscript (see "Publications") detailing data generated.

Research Associate - Bacterial Biophysics

Weill Cornell Graduate School of Medical Sciences

Investigated the interplay between intestinal mycobiota composition and the human immune system, leveraging a 3D intestinal organoid system. Identified key fungal species which colonize the inflamed gut through regressive analyses, alongside their disease-causing factors.

Clinical Research Intern - Microbiology

Rutgers University - Newark

Conducted research on the effect of methamphetamine drug use on fungal brain infection in mice, leveraging advanced confocal microscopy techniques and fluorescent staining. Compiled comprehensive oral & written data reports, demonstrating key findings.

Research Intern - Translational Microbiology

Data Scientist • Strategic implementation of AI/ML solutions in Biotech & Healthcare

Aneesa is a PhD-trained research scientist with a career spanning Microbiology, Immunology and most recently Computational Genomics.

Her domain expertise has challenged her to exploit her rigorous training and curiosity of human biology to generate impact beyond academia. She sits at the intersection of biology and computation and is proficient at developing machine learning solutions for single-cell -omics analysis, supporting R&D efforts and developing novel predictive methods.

Aneesa has instructed bioinformatics workshops and given guest lectures on the subject matter to students and professionals alike. She prides herself on being a translator, and finds distilling complex ideas to their most basic components extremely fulfilling.

She is a deep thinker by nature, and thrives in environments which empower her to think critically, challenge the status quo, teach others and innovate.

Drop her a line at av-bio.com to chat!

Predictive Analytics Engineer

Leveraging Machine Learning to conduct predictive modeling on company first party data, to score their leads thus encouraging more effective Sales & Marketing strategies. This allows companies to prioritize leads, and ultimately drive revenue growth.

taplio

The Battle

Akmel Syed

Aneesa Valentine, M.S.

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